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Gerardo Alfonso Perez, Raquel Castillo

Devin R. O’Piela, Jacob A. Grimmer, Neill A. Schwieterman, Matthew J. Mears, Matthew W. Gorr, Loren E. Wold

Eva E. Lancaster, Vladimir I. Vladimirov, Brien P. Riley, Joseph W. Landry, Roxann Roberson-Nay, Timothy P. York

R. Hephzibah Cathryn, S. Udhaya Kumar, Salma Younes, Hatem Zayed, C. George Priya Doss

Xiaoyu Zhang, Yike Guo

Aino Heikkinen, Sara Lundgren, Miina Ollikainen

Sophie Peacock, Etai Jacob, Nikolay Burlutskiy

Sudipto Bhattacharjee, Abhirupa Ghosh, Banani Saha, Sudipto Saha

Xiavan Renaldo Roopnarinesingh, Hunter Porter, Cory Giles, Chase Brown, Constantin Georgescu, Jonathan Wren

Yusha Liu, Keith A Baggerly, Elias Orouji, Ganiraju Manyam, Huiqin Chen, Michael Lam, Jennifer S Davis, Michael S Lee, Bradley M Broom, David G Menter, Kunal Rai, Scott Kopetz, Jeffrey S Morris

Alexander Jueterbock, Antoine J. P. Minne, J. Mark Cock, Melinda A. Coleman, Thomas Wernberg, Lydia Scheschonk, Ralf Rautenberger, Jie Zhang, Zi-Min Hu

Valentina V. Miroshnikova, Alexandra A. Panteleeva, Irina A. Pobozheva, Natalia D. Razgildina, Ekaterina A. Polyakova, Anton V. Markov, Olga D. Belyaeva, Olga A. Berkovich, Elena I. Baranova, Maria S. Nazarenko, Valery P. Puzyrev, Sofya N. Pchelina

Mariana Lizbeth Rodríguez-López, José Jaime Martínez-Magaña, David Ruiz-Ramos, Ana Rosa García, Laura Gonzalez, Carlos Alfonso Tovilla-Zarate, Emmanuel Sarmiento, Isela Esther Juárez-Rojop, Humberto Nicolini, Thelma Beatriz Gonzalez-Castro, Alma Delia Genis-Mendoza

Michael Banf, Thomas Hartwig

Patrycja Daca-Roszak, Roman Jaksik, Julia Paczkowska, Michał Witt, Ewa Ziętkiewicz

Trine B. Mattesen, Mads H. Rasmussen, Juan Sandoval, Halit Ongen, Sigrid S. Árnadóttir, Josephine Gladov, Anna Martinez-Cardus, Manuel Castro de Moura, Anders H. Madsen, Søren Laurberg, Emmanouil T. Dermitzakis, Manel Esteller, Claus L. Andersen, Jesper B. Bramsen

Soyeon Kim, Hyun Jung Park, Xiangqin Cui, Degui Zhi

Xiang Zhou, Hua Chai, Huiying Zhao, Ching-Hsing Luo, Yuedong Yang

Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De

Minji Kang, Sangseon Lee, Dohoon Lee, Sun Kim

2023	Nonlinear Techniques and Ridge Regression as a Combined Approach: Carcinoma Identification Case Study Mathematics Gerardo Alfonso Perez, Raquel Castillo
2023	Heart Rate and Rhythm Devin R. O’Piela, Jacob A. Grimmer, Neill A. Schwieterman, Matthew J. Mears, Matthew W. Gorr, Loren E. Wold
2022	Large-scale integration of DNA methylation and gene expression array platforms identifies both cis and trans relationships Epigenetics Eva E. Lancaster, Vladimir I. Vladimirov, Brien P. Riley, Joseph W. Landry, Roxann Roberson-Nay, Timothy P. York
2022	Advances in Protein Chemistry and Structural Biology R. Hephzibah Cathryn, S. Udhaya Kumar, Salma Younes, Hatem Zayed, C. George Priya Doss
2022	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Xiaoyu Zhang, Yike Guo
2022	Twin Research for Everyone Aino Heikkinen, Sara Lundgren, Miina Ollikainen
2022	2022 International Joint Conference on Neural Networks (IJCNN) Sophie Peacock, Etai Jacob, Nikolay Burlutskiy
2022	Machine Learning and Systems Biology in Genomics and Health Sudipto Bhattacharjee, Abhirupa Ghosh, Banani Saha, Sudipto Saha
2022	Multi-tissue DNA methylation microarray signature is predictive of gene function Epigenetics Xiavan Renaldo Roopnarinesingh, Hunter Porter, Cory Giles, Chase Brown, Constantin Georgescu, Jonathan Wren
2021	Methylation-eQTL analysis in cancer research Bioinformatics Yusha Liu, Keith A Baggerly, Elias Orouji, Ganiraju Manyam, Huiqin Chen, Michael Lam, Jennifer S Davis, Michael S Lee, Bradley M Broom, David G Menter, Kunal Rai, Scott Kopetz, Jeffrey S Morris
2021	Priming of Marine Macrophytes for Enhanced Restoration Success and Food Security in Future Oceans Frontiers in Marine Science Alexander Jueterbock, Antoine J. P. Minne, J. Mark Cock, Melinda A. Coleman, Thomas Wernberg, Lydia Scheschonk, Ralf Rautenberger, Jie Zhang, Zi-Min Hu
2021	ABCA1 and ABCG1 DNA methylation in epicardial adipose tissue of patients with coronary artery disease BMC Cardiovascular Disorders Valentina V. Miroshnikova, Alexandra A. Panteleeva, Irina A. Pobozheva, Natalia D. Razgildina, Ekaterina A. Polyakova, Anton V. Markov, Olga D. Belyaeva, Olga A. Berkovich, Elena I. Baranova, Maria S. Nazarenko, Valery P. Puzyrev, Sofya N. Pchelina
2021	Individuals Diagnosed with Binge-Eating Disorder Have DNA Hypomethylated Sites in Genes of the Metabolic System: A Pilot Study Nutrients Mariana Lizbeth Rodríguez-López, José Jaime Martínez-Magaña, David Ruiz-Ramos, Ana Rosa García, Laura Gonzalez, Carlos Alfonso Tovilla-Zarate, Emmanuel Sarmiento, Isela Esther Juárez-Rojop, Humberto Nicolini, Thelma Beatriz Gonzalez-Castro, Alma Delia Genis-Mendoza
2021	The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond Computation Michael Banf, Thomas Hartwig
2020	Discrimination between human populations using a small number of differentially methylated CpG sites: a preliminary study using lymphoblastoid cell lines and peripheral blood samples of European and Chinese origin BMC Genomics Patrycja Daca-Roszak, Roman Jaksik, Julia Paczkowska, Michał Witt, Ewa Ziętkiewicz
2020	MethCORR modelling of methylomes from formalin-fixed paraffin-embedded tissue enables characterization and prognostication of colorectal cancer Nature Communications Trine B. Mattesen, Mads H. Rasmussen, Juan Sandoval, Halit Ongen, Sigrid S. Árnadóttir, Josephine Gladov, Anna Martinez-Cardus, Manuel Castro de Moura, Anders H. Madsen, Søren Laurberg, Emmanouil T. Dermitzakis, Manel Esteller, Claus L. Andersen, Jesper B. Bramsen
2020	Collective effects of long-range DNA methylations predict gene expressions and estimate phenotypes in cancer Scientific Reports Soyeon Kim, Hyun Jung Park, Xiangqin Cui, Degui Zhi
2020	Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network GigaScience Xiang Zhou, Hua Chai, Huiying Zhao, Ching-Hsing Luo, Yuedong Yang
2020	Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration Genomics Dibyendu Bikash Seal, Vivek Das, Saptarsi Goswami, Rajat K. De
2020	Learning Cell-Type-Specific Gene Regulation Mechanisms by Multi-Attention Based Deep Learning With Regulatory Latent Space Frontiers in Genetics Minji Kang, Sangseon Lee, Dohoon Lee, Sun Kim
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